Discriminant analysis for repeated measures data: Effects of mean and covariance misspecification on bias and error in discriminant function coefficients

Abstract

Discriminant analysis (DA) procedures based on parsimonious mean and/or covariance structures have been proposed for repeated measures (RM) data. Bias and means square error of discriminant function coefficients (DFCs) for DA procedures are investigated when the mean and/or covariance structures are correctly specified and misspecified. © 2011 JMASM, Inc.